Triple

T10824738
Position Surface form Disambiguated ID Type / Status
Subject Frederiksberg E255466 entity
Predicate hasNotableStreet P26446 FINISHED
Object Falkoner Allé
Falkoner Allé is a major thoroughfare and commercial street in the Copenhagen municipality of Frederiksberg, known for its shops, offices, and cultural venues.
 E888243 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Falkoner Allé | Statement: [Frederiksberg, hasNotableStreet, Falkoner Allé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Falkoner Allé
Context triple: [Frederiksberg, hasNotableStreet, Falkoner Allé]
  • A. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • D. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • E. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Falkoner Allé
Triple: [Frederiksberg, hasNotableStreet, Falkoner Allé]
Generated description
Falkoner Allé is a major thoroughfare and commercial street in the Copenhagen municipality of Frederiksberg, known for its shops, offices, and cultural venues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Falkoner Allé
Target entity description: Falkoner Allé is a major thoroughfare and commercial street in the Copenhagen municipality of Frederiksberg, known for its shops, offices, and cultural venues.
  • A. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • B. Hedmarksgata
    Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Toftes gate
    Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
  • D. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • E. Pløens gate
    Pløens gate is a street in central Oslo, Norway, located near the historic public square Youngstorget.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734cf7918819094d36ea208c80d12 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.